Data Analytics Software Architect

Overview

As a Data Analytics Software Architect, you shape the strategy and technical direction for data-driven, AI-enabled solutions within Marsh Technology. You bridge Enterprise Architecture and software delivery to build secure, scalable products and to drive high-quality outcomes. You lead hands-on delivery while owning the product ecosystem’s underlying architecture. You collaborate with cross-functional teams to advance modern analytics platforms and Agentic AI initiatives that unlock business value.

Pay / Benefits

• 30+ days off
• Performance bonus
• Pension, Life and Medical Insurance
• Meal Vouchers
• Flexible benefits package (up to 20% of salary)
• Hybrid work arrangement

Responsibilities

• Lead by example as a hands-on product builder and drive delivery of organizational goals
• Drive tactical plans to implement Product Ecosystem strategies defined by Enterprise Architects
• Own and shape the underlying architecture of the Product Ecosystem ensuring scalability, security, and maintainability
• Maintain high engineering standards with practices and guardrails, including AI-assisted delivery patterns
• Interface between Software Engineering, Enterprise Architecture, and management to ensure alignment
• Oversee technical delivery across teams and support the development plans of Lead and Senior Engineers
• Design detailed solution architectures with Enterprise Architects and engineers (backend/frontend as needed)
• Facilitate broad design collaboration and key technical decision-making
• Review designs and provide constructive feedback to architecture group
• Guide development techniques and methodologies (Agile at Scale, Lean, CI/CD, TDD, IaC)
• Propose and implement processes and practices to improve delivery effectiveness
• Track progress against engineering goals and communicate status transparently
• Research and evaluate new technologies and approaches benefiting the organization
• Contribute to thought leadership and strategy across Software Engineering
• Build cloud-based data and analytics solutions including Agentic AI solutions with governance and lifecycle considerations

Key requirements

• Excellent written and verbal communication in Romanian and English
• Proven experience as Lead or Senior Engineer across multiple products, capable of operating at Architect level
• Strong ability to communicate with technical and non-technical stakeholders in a cross-functional environment
• Proven track record delivering software across a broad mix of languages, technologies, and platforms
• Strong leadership and people skills with coaching/mentoring mindset and career development focus
• Experience with cloud-native architectures and modern engineering practices (Agile at Scale, Lean, Continuous Delivery)
• CI, TDD, Infrastructure as Code and DevOps, including Quality Gates
• Security-driven design practices and remediation of SAST/DAST findings
• SDLC knowledge with tools like Confluence, Jira, Azure DevOps (ADO), GitHub

• Strong communication with diverse stakeholders
• Leadership and people development
• Collaborative, innovative team-building mindset
• Cloud-native architectures (AWS, Azure)
• Data/Analytics platform design (data warehouses, data lakes/lakehouses, ETL/ELT, streaming, semantic modeling, BI)
• Agentic AI solutions and AI governance

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